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Applying N1QL and FTS over machine learning


January 26
The Smokery

2-6 Greenhill’s Rents EC1M 6BW, London

About the Event

Couchbase London meetup where we have two great talks lined up for you, first Applying N1QL and FTS over machine learning  and seondly what's new in Couchbase 4.6


Talk: Applying N1QL and FTS over machine learning 

Searching for the right video content to tell a story in the right way is hard. The demand for authentic, relatable video content is at an all time high, with brands trying to harness the power of the crowd to help tell their stories. With the abundance of readily available cloud computer power, machine learning is becoming a much more feasible tool that allows us to perform analysis of video content, including object classification, sentiment analysis, audio transcriptions, and much more. This talk will show how Seenit is combining all these tools with the power of Couchbase’s Full Text Search and N1QL capabilities, providing us with the means to provide a high-quality and scalable video intelligence platform


Speaker: Dave Starling is the Chief Technology Officer of Seenit, a London-based video collaboration platform, and a Couchbase Developer Expert. He has been using Couchbase since the 2.0 era, and he and his team are putting it to use at Seenit to build a video intelligence data mining tool and search engine.